
Scalable Surface Reconstruction in the Mobile Edge
Various augmented and virtual reality (AR/VR) applications have emerged in the past years and their popularity are still increasing. Most of these applications work near real-time, posing low-latency requirements against the algorithms to be used. The high computational complexity of 3D mesh generation from continuous 3D point cloud streams provided by depth cameras requires strong processors that have high energy consumption, leading to low battery life of mobile devices. By moving the processing to mobile edge computing (MEC) servers, the smart phones can be offloaded and thus their battery life can be extended. In this paper, we propose a highly-scalable method for near real-time 3D mesh generation by exploiting the advances of MEC.
Eredeti fellelhetőség: dl.acm.org


